Working with Poor Data

When reality is messy, be explicit about assumptions.

Key points

• Surface data freshness and coverage on the page.
• Use tooltips/footnotes for known issues.
• Prefer robust visuals (bars/lines) over fragile ones (pies) when data is noisy.

Tips

• Start with a ‘Data Quality’ KPI card.
• Add links to data definitions and owners.